Researchers studying human genetics face a major bottleneck when trying to interpret the functional impact of billions of possible single‑nucleotide changes. Running complex models for each variant is too slow and costly, and laboratory testing is impossible at scale. This limits the speed of disease‑gene discovery, population‑scale analyses, and regulatory‑mechanism studies.
The AlphaGenome Atlas solves these problems by providing a ready‑to‑use lookup table that contains pre‑computed molecular effect predictions for every one of the roughly nine billion human single‑nucleotide variants. Users can query the Atlas through a free web portal or an API and instantly receive:
* a single AlphaGenome Variant Impact (AVI) score that combines regulatory and protein‑coding predictions,
* per‑variant feature attributions that show which biological processes (chromatin accessibility, splicing, conservation, etc.) drive the score,
* a catalog of over 2,500 recurrent DNA motifs with genomic locations,
* and the underlying thousands of molecular effect predictions for deep dives.
Because the data are pre‑computed, there is no need to run heavy models on demand, eliminating computational delays and cost. Academic users can access the portal and API today at no charge; commercial access on Google Cloud is announced as “coming soon”. The resource works for both coding (≈2 %) and non‑coding (≈98 %) regions, enabling unified variant prioritization.
Early adopters have already used the Atlas to uncover a validated splice‑site variant in DNM1 linked to epileptic encephalopathy and to find 22 % more non‑coding associations in UK Biobank data, demonstrating immediate utility for rare‑disease studies, population genetics, and regulatory‑grammar research.
To start, visit the AlphaGenome Atlas portal, sign up for academic access, and begin querying variants of interest. The workflow reduces weeks of computation to seconds, letting teams focus on interpretation and follow‑up experiments.
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